Over the last years, network analysis has become an active topic of research, with numerous applications in macroeconomics and finance. In a nutshell, network analysis is concerned with representing the interconnections of a large panel as a graph: the vertices of the graph represent the variables in the panel, and the presence of an edge between two vertices denotes the presence of some appropriate measure of dependence between the two variables. Dependence can derive from direct exposures or from indirect or common exposures. From an economic perspective, the interest on networks has been boosted by the research of, inter alia, Acemoglu et al. (2012), which shows that individual entities can have a non-negligible effect on the aggregate behaviour of the economy when the system has a high degree of interconnectedness. Especially since the 2008 global financial crisis, the interest in analysing the role of network structure in transmitting – or dissipating – stress has grown significantly.
In this course, participants will be introduced to the theoretical framework and literature behind network analysis techniques for applications in finance and economics. Practical application of the methodologies will be presented in the form of examples, case studies and exercises. These sessions will be supported by code written in Python, with some parts available also in R.
I found this course extremely useful and well done! I learnt a lot and I am looking forward to put into practice the knowledge I acquired.
Early bird €855 (Standard fee: € 950) – Public Authorities (e.g. National Competent Authorities, Central Banks) and European Institutions –
€ 750 (No early bird) – Full-Time Professors, PhD Students, Research Associates
Please submit a certificate attesting your status of Professor, PhD Student or Research Associate to email@example.com before registering. FBF secretariat will provide you with a code to register. *Seats for academics are limited.
Please note that the payment must be settled one week before the start of the course.
Limited seats per institution
A certificate of attendance will be provided to all participants after the course.
In case you can no longer attend the course, you are required to inform the organisers by sending an email to firstname.lastname@example.org in order to free a seat for participants in the waiting list.
In case of frequent cancellations, FBF reserves the right not to accept further registrations from the same person.